Speeding Up Ultrafast Spectroscopy

Rachel Ostic, Jean-Michel Menard
February 2021
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Image credit: J.-M. Ménard/University of Ottawa; adapted by APS/Alan Stonebraker

Abstract

A signal-processing algorithm called compressive sensing lets researchers characterize a sample with ultrafast spectroscopy using far fewer measurements than before.

Publication
In Physics Magazine
Compressive sensing
Rachel Ostic
Rachel Ostic
Data scientist

I’m fascinated by data analysis and how it combines abstract thinking with real world problems, and I am starting to fuse this interest with programming both personally and at work.